Attribution Analytics Audit and Incrementality Pilot (14-21 days)
A structured engagement that audits a client's current attribution setup, selects a multi-touch or MMM platform, and runs an incrementality test to prove ROI and reallocate budget. Time: 14-21 days.
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Attribution Analytics Audit and Incrementality Pilot (14-21 days)
A structured engagement that audits a client's current attribution setup, selects a multi-touch or MMM platform, and runs an incrementality test to prove ROI and reallocate budget.
- Client has access to ad platform accounts, CRM, and payment processor data
- At least 90 days of historical marketing spend and conversion data available
- Client agrees to a defined incrementality test design (e.g., geo holdout or time-based)
- Stakeholder from finance or C-suite available to approve budget reallocation recommendations
- Client provides access to a data warehouse or allows direct API connections
- 1.Kick off with client stakeholders to define business goals and current attribution pain points
- 2.Inventory all marketing channels, data sources, and existing analytics tools
- 3.Document current reporting cadence and decision-making process
- 1.Audit existing tracking implementation (UTM parameters, pixels, server-side events)
- 2.Identify data gaps and integration issues across ad platforms, CRM, and payment systems
- 3.Map the customer journey touchpoints from first click to conversion
- 1.Evaluate attribution platform options against client needs (e.g., DTC e-commerce vs. B2B pipeline)
- 2.Shortlist 2-3 platforms and present a comparison with pricing and integration effort
- 3.Recommend a primary platform and a fallback
- 1.Set up the chosen platform's tracking and data connections
- 2.Configure conversion events and revenue tracking
- 3.Validate data flow with test conversions
- 1.Backfill historical data (at least 90 days) into the platform
- 2.Reconcile platform-reported revenue with internal financial records
- 3.Document any data discrepancies and resolve them
- 1.Build custom dashboards for multi-touch attribution and channel performance
- 2.Create a baseline report of last-click vs. multi-touch attribution results
- 3.Identify channels that are over- or under-valued by last-click
- 1.Design an incrementality test (e.g., geo holdout or ad spend reduction in a control group)
- 2.Define success metrics and statistical significance thresholds
- 3.Get client approval on the test design
- 1.Launch the incrementality test, ensuring proper tracking and control groups
- 2.Monitor test execution for data quality issues
- 3.Set up automated alerts for anomalies
- 1.Begin weekly reporting on test progress and early signals
- 2.Analyze initial data to check for any implementation errors
- 3.Adjust test parameters if necessary (with client consent)
- 1.Continue test monitoring and collect data
- 2.Prepare interim findings for a mid-point client review
- 3.Document any external factors (seasonality, promotions) that could affect results
- 1.Run statistical analysis on test results to determine incremental lift
- 2.Compare incrementality results with attribution model outputs
- 3.Identify which channels have true incremental impact vs. correlation
- 1.Develop budget reallocation recommendations based on findings
- 2.Create a roadmap for ongoing measurement and optimization
- 3.Draft a client presentation summarizing insights and recommended actions
- 1.Present final report to client stakeholders
- 2.Discuss implementation plan for budget shifts and measurement changes
- 3.Agree on next steps for ongoing attribution management
- 1.Hand over platform access and documentation to client team
- 2.Provide training on using dashboards and interpreting reports
- 3.Schedule a follow-up review for 30 days post-engagement
Agencies can charge a premium for this engagement because it directly ties marketing spend to revenue, which is the core of client retention. The incrementality test provides evidence that justifies budget shifts, and the ongoing reporting creates a retainer opportunity. With platform costs often under $1000/mo, the margin on a $10k+ project is substantial.
- Attribution audit report with data gap analysis
- Platform comparison and selection recommendation
- Configured attribution platform with historical data
- Custom multi-touch attribution dashboards
- Incrementality test results and budget reallocation plan
Client has a live attribution platform with validated data, an incrementality test completed with statistically significant results, and a documented budget reallocation plan approved by stakeholders.